Pandas Profiling Report

Dataset statistics

Number of variables	23
Number of observations	145460
Missing cells	343248
Missing cells (%)	10.3%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	25.5 MiB
Average record size in memory	184.0 B

Variable types

Categorical	5
Numeric	16
Boolean	2

Alerts

`Date` has a high cardinality: 3436 distinct values	High cardinality
`MinTemp` is highly correlated with `MaxTemp` and 3 other fields	High correlation
`MaxTemp` is highly correlated with `MinTemp` and 3 other fields	High correlation
`Evaporation` is highly correlated with `MinTemp` and 4 other fields	High correlation
`Sunshine` is highly correlated with `Humidity9am` and 4 other fields	High correlation
`WindGustSpeed` is highly correlated with `WindSpeed9am` and 1 other fields	High correlation
`WindSpeed9am` is highly correlated with `WindGustSpeed`	High correlation
`WindSpeed3pm` is highly correlated with `WindGustSpeed`	High correlation
`Humidity9am` is highly correlated with `Evaporation` and 2 other fields	High correlation
`Humidity3pm` is highly correlated with `Sunshine` and 4 other fields	High correlation
`Pressure9am` is highly correlated with `Pressure3pm`	High correlation
`Pressure3pm` is highly correlated with `Pressure9am`	High correlation
`Cloud9am` is highly correlated with `Sunshine` and 2 other fields	High correlation
`Cloud3pm` is highly correlated with `Sunshine` and 2 other fields	High correlation
`Temp9am` is highly correlated with `MinTemp` and 3 other fields	High correlation
`Temp3pm` is highly correlated with `MinTemp` and 5 other fields	High correlation
`MinTemp` is highly correlated with `MaxTemp` and 2 other fields	High correlation
`MaxTemp` is highly correlated with `MinTemp` and 5 other fields	High correlation
`Evaporation` is highly correlated with `MaxTemp` and 3 other fields	High correlation
`Sunshine` is highly correlated with `Humidity3pm` and 2 other fields	High correlation
`WindGustSpeed` is highly correlated with `WindSpeed9am` and 1 other fields	High correlation
`WindSpeed9am` is highly correlated with `WindGustSpeed` and 1 other fields	High correlation
`WindSpeed3pm` is highly correlated with `WindGustSpeed` and 1 other fields	High correlation
`Humidity9am` is highly correlated with `MaxTemp` and 2 other fields	High correlation
`Humidity3pm` is highly correlated with `MaxTemp` and 5 other fields	High correlation
`Pressure9am` is highly correlated with `Pressure3pm`	High correlation
`Pressure3pm` is highly correlated with `Pressure9am`	High correlation
`Cloud9am` is highly correlated with `Sunshine` and 2 other fields	High correlation
`Cloud3pm` is highly correlated with `Sunshine` and 2 other fields	High correlation
`Temp9am` is highly correlated with `MinTemp` and 3 other fields	High correlation
`Temp3pm` is highly correlated with `MinTemp` and 4 other fields	High correlation
`MinTemp` is highly correlated with `MaxTemp` and 2 other fields	High correlation
`MaxTemp` is highly correlated with `MinTemp` and 3 other fields	High correlation
`Evaporation` is highly correlated with `MaxTemp`	High correlation
`Sunshine` is highly correlated with `Cloud9am` and 1 other fields	High correlation
`WindGustSpeed` is highly correlated with `WindSpeed3pm`	High correlation
`WindSpeed3pm` is highly correlated with `WindGustSpeed`	High correlation
`Pressure9am` is highly correlated with `Pressure3pm`	High correlation
`Pressure3pm` is highly correlated with `Pressure9am`	High correlation
`Cloud9am` is highly correlated with `Sunshine`	High correlation
`Cloud3pm` is highly correlated with `Sunshine`	High correlation
`Temp9am` is highly correlated with `MinTemp` and 2 other fields	High correlation
`Temp3pm` is highly correlated with `MinTemp` and 2 other fields	High correlation
`Location` is highly correlated with `MinTemp` and 8 other fields	High correlation
`MinTemp` is highly correlated with `Location` and 5 other fields	High correlation
`MaxTemp` is highly correlated with `Location` and 5 other fields	High correlation
`Sunshine` is highly correlated with `Humidity9am` and 4 other fields	High correlation
`WindGustDir` is highly correlated with `Location` and 2 other fields	High correlation
`WindGustSpeed` is highly correlated with `WindSpeed9am` and 1 other fields	High correlation
`WindDir9am` is highly correlated with `Location` and 2 other fields	High correlation
`WindDir3pm` is highly correlated with `Location` and 2 other fields	High correlation
`WindSpeed9am` is highly correlated with `WindGustSpeed` and 1 other fields	High correlation
`WindSpeed3pm` is highly correlated with `WindGustSpeed` and 1 other fields	High correlation
`Humidity9am` is highly correlated with `Location` and 6 other fields	High correlation
`Humidity3pm` is highly correlated with `Location` and 8 other fields	High correlation
`Pressure9am` is highly correlated with `MinTemp` and 2 other fields	High correlation
`Pressure3pm` is highly correlated with `MinTemp` and 2 other fields	High correlation
`Cloud9am` is highly correlated with `Sunshine` and 3 other fields	High correlation
`Cloud3pm` is highly correlated with `Sunshine` and 3 other fields	High correlation
`Temp9am` is highly correlated with `Location` and 6 other fields	High correlation
`Temp3pm` is highly correlated with `Location` and 5 other fields	High correlation
`RainToday` is highly correlated with `Humidity3pm`	High correlation
`RainTomorrow` is highly correlated with `Sunshine` and 2 other fields	High correlation
`MinTemp` has 1485 (1.0%) missing values	Missing
`Rainfall` has 3261 (2.2%) missing values	Missing
`Evaporation` has 62790 (43.2%) missing values	Missing
`Sunshine` has 69835 (48.0%) missing values	Missing
`WindGustDir` has 10326 (7.1%) missing values	Missing
`WindGustSpeed` has 10263 (7.1%) missing values	Missing
`WindDir9am` has 10566 (7.3%) missing values	Missing
`WindDir3pm` has 4228 (2.9%) missing values	Missing
`WindSpeed9am` has 1767 (1.2%) missing values	Missing
`WindSpeed3pm` has 3062 (2.1%) missing values	Missing
`Humidity9am` has 2654 (1.8%) missing values	Missing
`Humidity3pm` has 4507 (3.1%) missing values	Missing
`Pressure9am` has 15065 (10.4%) missing values	Missing
`Pressure3pm` has 15028 (10.3%) missing values	Missing
`Cloud9am` has 55888 (38.4%) missing values	Missing
`Cloud3pm` has 59358 (40.8%) missing values	Missing
`Temp9am` has 1767 (1.2%) missing values	Missing
`Temp3pm` has 3609 (2.5%) missing values	Missing
`RainToday` has 3261 (2.2%) missing values	Missing
`RainTomorrow` has 3267 (2.2%) missing values	Missing
`Rainfall` has 91080 (62.6%) zeros	Zeros
`Sunshine` has 2359 (1.6%) zeros	Zeros
`WindSpeed9am` has 8745 (6.0%) zeros	Zeros
`Cloud9am` has 8642 (5.9%) zeros	Zeros
`Cloud3pm` has 4974 (3.4%) zeros	Zeros

Reproduction

Analysis started	2021-12-18 10:10:48.218808
Analysis finished	2021-12-18 10:11:38.783803
Duration	50.56 seconds
Software version	pandas-profiling v3.1.0
Download configuration	config.json

Date
Categorical

HIGH CARDINALITY

Distinct	3436
Distinct (%)	2.4%
Missing	0
Missing (%)	0.0%
Memory size	1.1 MiB

2013-11-12	49
2014-09-01	49
2014-08-23	49
2014-08-24	49
2014-08-25	49
Other values (3431)	145215

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	92 ?
Unique (%)	0.1%

Sample

1st row	2008-12-01
2nd row	2008-12-02
3rd row	2008-12-03
4th row	2008-12-04
5th row	2008-12-05

Common Values

Value	Count	Frequency (%)
2013-11-12	49	< 0.1%
2014-09-01	49	< 0.1%
2014-08-23	49	< 0.1%
2014-08-24	49	< 0.1%
2014-08-25	49	< 0.1%
2014-08-26	49	< 0.1%
2014-08-27	49	< 0.1%
2014-08-28	49	< 0.1%
2014-08-29	49	< 0.1%
2014-08-30	49	< 0.1%
Other values (3426)	144970	99.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2013-11-12	49	< 0.1%
2016-12-13	49	< 0.1%
2017-01-03	49	< 0.1%
2017-01-02	49	< 0.1%
2017-01-01	49	< 0.1%
2016-12-31	49	< 0.1%
2016-12-30	49	< 0.1%
2016-12-29	49	< 0.1%
2016-12-28	49	< 0.1%
2016-12-27	49	< 0.1%
Other values (3426)	144970	99.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Location
Categorical

HIGH CORRELATION

Distinct	49
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.1 MiB

Canberra	3436
Sydney	3344
Darwin	3193
Melbourne	3193
Brisbane	3193
Other values (44)	129101

Length

Max length	16
Median length	8
Mean length	8.711625189
Min length	4

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Albury
2nd row	Albury
3rd row	Albury
4th row	Albury
5th row	Albury

Common Values

Value	Count	Frequency (%)
Canberra	3436	2.4%
Sydney	3344	2.3%
Darwin	3193	2.2%
Melbourne	3193	2.2%
Brisbane	3193	2.2%
Adelaide	3193	2.2%
Perth	3193	2.2%
Hobart	3193	2.2%
Albany	3040	2.1%
MountGambier	3040	2.1%
Other values (39)	113442	78.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
canberra	3436	2.4%
sydney	3344	2.3%
darwin	3193	2.2%
melbourne	3193	2.2%
brisbane	3193	2.2%
adelaide	3193	2.2%
perth	3193	2.2%
hobart	3193	2.2%
launceston	3040	2.1%
wollongong	3040	2.1%
Other values (39)	113442	78.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

MinTemp
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	389
Distinct (%)	0.3%
Missing	1485
Missing (%)	1.0%
Infinite	0
Infinite (%)	0.0%
Mean	12.19403438

Minimum	-8.5
Maximum	33.9
Zeros	159
Zeros (%)	0.1%
Negative	3464
Negative (%)	2.4%
Memory size	1.1 MiB

Quantile statistics

Minimum	-8.5
5-th percentile	1.8
Q1	7.6
median	12
Q3	16.9
95-th percentile	23
Maximum	33.9
Range	42.4
Interquartile range (IQR)	9.3

Descriptive statistics

Standard deviation	6.398494976
Coefficient of variation (CV)	0.5247233832
Kurtosis	-0.483972117
Mean	12.19403438
Median Absolute Deviation (MAD)	4.6
Skewness	0.02118828401
Sum	1755636.1
Variance	40.94073795
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
11	899	0.6%
10.2	898	0.6%
9.6	896	0.6%
10.5	884	0.6%
10.8	872	0.6%
9	872	0.6%
10	871	0.6%
12	866	0.6%
8.9	861	0.6%
10.4	860	0.6%
Other values (379)	135196	92.9%
(Missing)	1485	1.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-8.5	1	< 0.1%
-8.2	2	< 0.1%
-8	2	< 0.1%
-7.8	1	< 0.1%
-7.6	2	< 0.1%
-7.5	2	< 0.1%
-7.3	1	< 0.1%
-7.2	1	< 0.1%
-7.1	1	< 0.1%
-7	7	< 0.1%

Value	Count	Frequency (%)
33.9	1	< 0.1%
31.9	1	< 0.1%
31.8	1	< 0.1%
31.4	3	< 0.1%
31.2	1	< 0.1%
31	1	< 0.1%
30.7	2	< 0.1%
30.5	1	< 0.1%
30.3	1	< 0.1%
30.2	1	< 0.1%

MaxTemp
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	505
Distinct (%)	0.4%
Missing	1261
Missing (%)	0.9%
Infinite	0
Infinite (%)	0.0%
Mean	23.22134828

Minimum	-4.8
Maximum	48.1
Zeros	14
Zeros (%)	< 0.1%
Negative	113
Negative (%)	0.1%
Memory size	1.1 MiB

Quantile statistics

Minimum	-4.8
5-th percentile	12.8
Q1	17.9
median	22.6
Q3	28.2
95-th percentile	35.5
Maximum	48.1
Range	52.9
Interquartile range (IQR)	10.3

Descriptive statistics

Standard deviation	7.119048846
Coefficient of variation (CV)	0.3065734496
Kurtosis	-0.2246297848
Mean	23.22134828
Median Absolute Deviation (MAD)	5.1
Skewness	0.2208393481
Sum	3348495.2
Variance	50.68085647
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20	885	0.6%
19	843	0.6%
19.8	840	0.6%
20.4	834	0.6%
19.9	823	0.6%
20.8	817	0.6%
19.5	812	0.6%
18.5	811	0.6%
21	810	0.6%
18.2	804	0.6%
Other values (495)	135920	93.4%
(Missing)	1261	0.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-4.8	1	< 0.1%
-4.1	1	< 0.1%
-3.8	1	< 0.1%
-3.7	1	< 0.1%
-3.2	1	< 0.1%
-3.1	2	< 0.1%
-3	1	< 0.1%
-2.9	1	< 0.1%
-2.7	1	< 0.1%
-2.5	2	< 0.1%

Value	Count	Frequency (%)
48.1	1	< 0.1%
47.3	2	< 0.1%
47	1	< 0.1%
46.9	1	< 0.1%
46.8	3	< 0.1%
46.7	2	< 0.1%
46.6	1	< 0.1%
46.5	1	< 0.1%
46.4	4	< 0.1%
46.3	2	< 0.1%

Rainfall
Real number (ℝ_≥0)

MISSING
ZEROS

Distinct	681
Distinct (%)	0.5%
Missing	3261
Missing (%)	2.2%
Infinite	0
Infinite (%)	0.0%
Mean	2.36091815

Minimum	0
Maximum	371
Zeros	91080
Zeros (%)	62.6%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0.8
95-th percentile	13
Maximum	371
Range	371
Interquartile range (IQR)	0.8

Descriptive statistics

Standard deviation	8.478059738
Coefficient of variation (CV)	3.591001127
Kurtosis	178.1520788
Mean	2.36091815
Median Absolute Deviation (MAD)	0
Skewness	9.83622525
Sum	335720.2
Variance	71.87749692
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	91080	62.6%
0.2	8761	6.0%
0.4	3782	2.6%
0.6	2592	1.8%
0.8	2056	1.4%
1	1759	1.2%
1.2	1535	1.1%
1.4	1377	0.9%
1.6	1200	0.8%
1.8	1104	0.8%
Other values (671)	26953	18.5%
(Missing)	3261	2.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	91080	62.6%
0.1	157	0.1%
0.2	8761	6.0%
0.3	65	< 0.1%
0.4	3782	2.6%
0.5	39	< 0.1%
0.6	2592	1.8%
0.7	13	< 0.1%
0.8	2056	1.4%
0.9	15	< 0.1%

Value	Count	Frequency (%)
371	1	< 0.1%
367.6	1	< 0.1%
278.4	1	< 0.1%
268.6	1	< 0.1%
247.2	1	< 0.1%
240	1	< 0.1%
236.8	1	< 0.1%
225	1	< 0.1%
219.6	1	< 0.1%
216.3	1	< 0.1%

Evaporation
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	358
Distinct (%)	0.4%
Missing	62790
Missing (%)	43.2%
Infinite	0
Infinite (%)	0.0%
Mean	5.468231523

Minimum	0
Maximum	145
Zeros	244
Zeros (%)	0.2%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2.6
median	4.8
Q3	7.4
95-th percentile	12
Maximum	145
Range	145
Interquartile range (IQR)	4.8

Descriptive statistics

Standard deviation	4.193704094
Coefficient of variation (CV)	0.7669214583
Kurtosis	45.0432665
Mean	5.468231523
Median Absolute Deviation (MAD)	2.4
Skewness	3.761286011
Sum	452058.7
Variance	17.58715403
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4	3339	2.3%
8	2609	1.8%
2.2	2095	1.4%
2	2032	1.4%
2.6	2003	1.4%
2.4	2003	1.4%
1.8	1979	1.4%
3	1973	1.4%
3.4	1967	1.4%
3.2	1956	1.3%
Other values (348)	60714	41.7%
(Missing)	62790	43.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	244	0.2%
0.1	8	< 0.1%
0.2	503	0.3%
0.3	10	< 0.1%
0.4	769	0.5%
0.5	14	< 0.1%
0.6	1097	0.8%
0.7	24	< 0.1%
0.8	1384	1.0%
0.9	28	< 0.1%

Value	Count	Frequency (%)
145	1	< 0.1%
86.2	1	< 0.1%
82.4	1	< 0.1%
81.2	1	< 0.1%
77.3	1	< 0.1%
74.8	1	< 0.1%
72.2	1	< 0.1%
70.4	1	< 0.1%
70	1	< 0.1%
68.8	2	< 0.1%

Sunshine
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
ZEROS

Distinct	145
Distinct (%)	0.2%
Missing	69835
Missing (%)	48.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.611177521

Minimum	0
Maximum	14.5
Zeros	2359
Zeros (%)	1.6%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	0
5-th percentile	0.3
Q1	4.8
median	8.4
Q3	10.6
95-th percentile	12.8
Maximum	14.5
Range	14.5
Interquartile range (IQR)	5.8

Descriptive statistics

Standard deviation	3.785482965
Coefficient of variation (CV)	0.4973583857
Kurtosis	-0.8294593402
Mean	7.611177521
Median Absolute Deviation (MAD)	2.6
Skewness	-0.4964800381
Sum	575595.3
Variance	14.32988128
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	2359	1.6%
10.7	1101	0.8%
11	1094	0.8%
10.8	1069	0.7%
10.5	1027	0.7%
10.9	1021	0.7%
10.3	1010	0.7%
10.2	993	0.7%
10	984	0.7%
11.1	978	0.7%
Other values (135)	63989	44.0%
(Missing)	69835	48.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	2359	1.6%
0.1	542	0.4%
0.2	521	0.4%
0.3	433	0.3%
0.4	326	0.2%
0.5	322	0.2%
0.6	298	0.2%
0.7	344	0.2%
0.8	320	0.2%
0.9	323	0.2%

Value	Count	Frequency (%)
14.5	1	< 0.1%
14.3	4	< 0.1%
14.2	2	< 0.1%
14.1	6	< 0.1%
14	15	< 0.1%
13.9	22	< 0.1%
13.8	60	< 0.1%
13.7	118	0.1%
13.6	181	0.1%
13.5	183	0.1%

WindGustDir
Categorical

HIGH CORRELATION
MISSING

Distinct	16
Distinct (%)	< 0.1%
Missing	10326
Missing (%)	7.1%
Memory size	1.1 MiB

W	9915
SE	9418
N	9313
SSE	9216
E	9181
Other values (11)	88091

Length

Max length	3
Median length	2
Mean length	2.194917637
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	W
2nd row	WNW
3rd row	WSW
4th row	NE
5th row	W

Common Values

Value	Count	Frequency (%)
W	9915	6.8%
SE	9418	6.5%
N	9313	6.4%
SSE	9216	6.3%
E	9181	6.3%
S	9168	6.3%
WSW	9069	6.2%
SW	8967	6.2%
SSW	8736	6.0%
WNW	8252	5.7%
Other values (6)	43899	30.2%
(Missing)	10326	7.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
w	9915	7.3%
se	9418	7.0%
n	9313	6.9%
sse	9216	6.8%
e	9181	6.8%
s	9168	6.8%
wsw	9069	6.7%
sw	8967	6.6%
ssw	8736	6.5%
wnw	8252	6.1%
Other values (6)	43899	32.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

WindGustSpeed
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	67
Distinct (%)	< 0.1%
Missing	10263
Missing (%)	7.1%
Infinite	0
Infinite (%)	0.0%
Mean	40.03523007

Minimum	6
Maximum	135
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	6
5-th percentile	20
Q1	31
median	39
Q3	48
95-th percentile	65
Maximum	135
Range	129
Interquartile range (IQR)	17

Descriptive statistics

Standard deviation	13.60706227
Coefficient of variation (CV)	0.3398772092
Kurtosis	1.41864232
Mean	40.03523007
Median Absolute Deviation (MAD)	9
Skewness	0.874878878
Sum	5412643
Variance	185.1521435
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
35	9215	6.3%
39	8794	6.0%
31	8428	5.8%
37	8047	5.5%
33	7933	5.5%
41	7369	5.1%
30	7038	4.8%
43	6609	4.5%
28	6478	4.5%
44	5432	3.7%
Other values (57)	59854	41.1%
(Missing)	10263	7.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
6	1	< 0.1%
7	19	< 0.1%
9	91	0.1%
11	192	0.1%
13	532	0.4%
15	835	0.6%
17	1387	1.0%
19	1751	1.2%
20	2627	1.8%
22	2810	1.9%

Value	Count	Frequency (%)
135	3	< 0.1%
130	1	< 0.1%
126	2	< 0.1%
124	2	< 0.1%
122	3	< 0.1%
120	4	< 0.1%
117	4	< 0.1%
115	5	< 0.1%
113	8	< 0.1%
111	3	< 0.1%

WindDir9am
Categorical

HIGH CORRELATION
MISSING

Distinct	16
Distinct (%)	< 0.1%
Missing	10566
Missing (%)	7.3%
Memory size	1.1 MiB

N	11758
SE	9287
E	9176
SSE	9112
NW	8749
Other values (11)	86812

Length

Max length	3
Median length	2
Mean length	2.182810207
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	W
2nd row	NNW
3rd row	W
4th row	SE
5th row	ENE

Common Values

Value	Count	Frequency (%)
N	11758	8.1%
SE	9287	6.4%
E	9176	6.3%
SSE	9112	6.3%
NW	8749	6.0%
S	8659	6.0%
W	8459	5.8%
SW	8423	5.8%
NNE	8129	5.6%
NNW	7980	5.5%
Other values (6)	45162	31.0%
(Missing)	10566	7.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
n	11758	8.7%
se	9287	6.9%
e	9176	6.8%
sse	9112	6.8%
nw	8749	6.5%
s	8659	6.4%
w	8459	6.3%
sw	8423	6.2%
nne	8129	6.0%
nnw	7980	5.9%
Other values (6)	45162	33.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

WindDir3pm
Categorical

HIGH CORRELATION
MISSING

Distinct	16
Distinct (%)	< 0.1%
Missing	4228
Missing (%)	2.9%
Memory size	1.1 MiB

SE	10838
W	10110
S	9926
WSW	9518
SSE	9399
Other values (11)	91441

Length

Max length	3
Median length	2
Mean length	2.207962785
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	WNW
2nd row	WSW
3rd row	WSW
4th row	E
5th row	NW

Common Values

Value	Count	Frequency (%)
SE	10838	7.5%
W	10110	7.0%
S	9926	6.8%
WSW	9518	6.5%
SSE	9399	6.5%
SW	9354	6.4%
N	8890	6.1%
WNW	8874	6.1%
NW	8610	5.9%
ESE	8505	5.8%
Other values (6)	47208	32.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
se	10838	7.7%
w	10110	7.2%
s	9926	7.0%
wsw	9518	6.7%
sse	9399	6.7%
sw	9354	6.6%
n	8890	6.3%
wnw	8874	6.3%
nw	8610	6.1%
ese	8505	6.0%
Other values (6)	47208	33.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

WindSpeed9am
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
ZEROS

Distinct	43
Distinct (%)	< 0.1%
Missing	1767
Missing (%)	1.2%
Infinite	0
Infinite (%)	0.0%
Mean	14.04342591

Minimum	0
Maximum	130
Zeros	8745
Zeros (%)	6.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	7
median	13
Q3	19
95-th percentile	30
Maximum	130
Range	130
Interquartile range (IQR)	12

Descriptive statistics

Standard deviation	8.915375323
Coefficient of variation (CV)	0.6348433336
Kurtosis	1.226990907
Mean	14.04342591
Median Absolute Deviation (MAD)	6
Skewness	0.7776295123
Sum	2017942
Variance	79.48391714
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=43)

Value	Count	Frequency (%)
9	13649	9.4%
13	13132	9.0%
11	11728	8.1%
17	10788	7.4%
7	10783	7.4%
15	10625	7.3%
6	9118	6.3%
19	8763	6.0%
0	8745	6.0%
20	8063	5.5%
Other values (33)	38299	26.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	8745	6.0%
2	4609	3.2%
4	6360	4.4%
6	9118	6.3%
7	10783	7.4%
9	13649	9.4%
11	11728	8.1%
13	13132	9.0%
15	10625	7.3%
17	10788	7.4%

Value	Count	Frequency (%)
130	1	< 0.1%
87	2	< 0.1%
83	1	< 0.1%
74	4	< 0.1%
72	1	< 0.1%
69	2	< 0.1%
67	4	< 0.1%
65	8	< 0.1%
63	9	< 0.1%
61	11	< 0.1%

WindSpeed3pm
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	44
Distinct (%)	< 0.1%
Missing	3062
Missing (%)	2.1%
Infinite	0
Infinite (%)	0.0%
Mean	18.66265678

Minimum	0
Maximum	87
Zeros	1112
Zeros (%)	0.8%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	0
5-th percentile	6
Q1	13
median	19
Q3	24
95-th percentile	35
Maximum	87
Range	87
Interquartile range (IQR)	11

Descriptive statistics

Standard deviation	8.809800021
Coefficient of variation (CV)	0.4720549773
Kurtosis	0.7638582384
Mean	18.66265678
Median Absolute Deviation (MAD)	6
Skewness	0.6282154194
Sum	2657525
Variance	77.61257641
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=44)

Value	Count	Frequency (%)
13	12580	8.6%
17	12539	8.6%
20	11713	8.1%
15	11483	7.9%
19	11263	7.7%
11	10015	6.9%
9	9753	6.7%
24	9052	6.2%
22	8598	5.9%
28	6553	4.5%
Other values (34)	38849	26.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1112	0.8%
2	1034	0.7%
4	2249	1.5%
6	3805	2.6%
7	5903	4.1%
9	9753	6.7%
11	10015	6.9%
13	12580	8.6%
15	11483	7.9%
17	12539	8.6%

Value	Count	Frequency (%)
87	1	< 0.1%
83	2	< 0.1%
78	1	< 0.1%
76	2	< 0.1%
74	1	< 0.1%
72	2	< 0.1%
69	3	< 0.1%
67	1	< 0.1%
65	18	< 0.1%
63	13	< 0.1%

Humidity9am
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	101
Distinct (%)	0.1%
Missing	2654
Missing (%)	1.8%
Infinite	0
Infinite (%)	0.0%
Mean	68.88083134

Minimum	0
Maximum	100
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	0
5-th percentile	34
Q1	57
median	70
Q3	83
95-th percentile	98
Maximum	100
Range	100
Interquartile range (IQR)	26

Descriptive statistics

Standard deviation	19.02916445
Coefficient of variation (CV)	0.2762621194
Kurtosis	-0.03755504182
Mean	68.88083134
Median Absolute Deviation (MAD)	13
Skewness	-0.4839689946
Sum	9836596
Variance	362.1090997
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
99	3391	2.3%
70	3026	2.1%
69	3023	2.1%
65	3014	2.1%
68	3011	2.1%
71	2976	2.0%
66	2973	2.0%
67	2950	2.0%
74	2917	2.0%
72	2914	2.0%
Other values (91)	112611	77.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	5	< 0.1%
2	8	< 0.1%
3	10	< 0.1%
4	20	< 0.1%
5	27	< 0.1%
6	37	< 0.1%
7	43	< 0.1%
8	56	< 0.1%
9	71	< 0.1%

Value	Count	Frequency (%)
100	2863	2.0%
99	3391	2.3%
98	2099	1.4%
97	1789	1.2%
96	1609	1.1%
95	1636	1.1%
94	1764	1.2%
93	1862	1.3%
92	1755	1.2%
91	1869	1.3%

Humidity3pm
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	101
Distinct (%)	0.1%
Missing	4507
Missing (%)	3.1%
Infinite	0
Infinite (%)	0.0%
Mean	51.53911588

Minimum	0
Maximum	100
Zeros	4
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	0
5-th percentile	17
Q1	37
median	52
Q3	66
95-th percentile	88
Maximum	100
Range	100
Interquartile range (IQR)	29

Descriptive statistics

Standard deviation	20.79590166
Coefficient of variation (CV)	0.4034974466
Kurtosis	-0.5113632484
Mean	51.53911588
Median Absolute Deviation (MAD)	14
Skewness	0.03361436764
Sum	7264593
Variance	432.4695257
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
52	2751	1.9%
55	2738	1.9%
57	2728	1.9%
53	2697	1.9%
59	2690	1.8%
58	2643	1.8%
54	2642	1.8%
50	2624	1.8%
51	2621	1.8%
60	2615	1.8%
Other values (91)	114204	78.5%
(Missing)	4507	3.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	4	< 0.1%
1	26	< 0.1%
2	35	< 0.1%
3	63	< 0.1%
4	113	0.1%
5	157	0.1%
6	242	0.2%
7	303	0.2%
8	422	0.3%
9	481	0.3%

Value	Count	Frequency (%)
100	400	0.3%
99	434	0.3%
98	603	0.4%
97	403	0.3%
96	462	0.3%
95	465	0.3%
94	559	0.4%
93	607	0.4%
92	648	0.4%
91	617	0.4%

Pressure9am
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	546
Distinct (%)	0.4%
Missing	15065
Missing (%)	10.4%
Infinite	0
Infinite (%)	0.0%
Mean	1017.64994

Minimum	980.5
Maximum	1041
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	980.5
5-th percentile	1006.2
Q1	1012.9
median	1017.6
Q3	1022.4
95-th percentile	1029.5
Maximum	1041
Range	60.5
Interquartile range (IQR)	9.5

Descriptive statistics

Standard deviation	7.106530288
Coefficient of variation (CV)	0.006983275888
Kurtosis	0.2315626216
Mean	1017.64994
Median Absolute Deviation (MAD)	4.7
Skewness	-0.09552363669
Sum	132696463.9
Variance	50.50277273
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1016.4	816	0.6%
1017.9	789	0.5%
1016.3	775	0.5%
1018.7	775	0.5%
1018	769	0.5%
1017.3	769	0.5%
1015.9	768	0.5%
1017.8	766	0.5%
1017.2	759	0.5%
1017.7	759	0.5%
Other values (536)	122650	84.3%
(Missing)	15065	10.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
980.5	1	< 0.1%
982	1	< 0.1%
982.2	1	< 0.1%
982.3	1	< 0.1%
982.9	2	< 0.1%
983.7	1	< 0.1%
983.9	1	< 0.1%
984.4	1	< 0.1%
984.6	2	< 0.1%
985	1	< 0.1%

Value	Count	Frequency (%)
1041	1	< 0.1%
1040.9	1	< 0.1%
1040.6	2	< 0.1%
1040.5	1	< 0.1%
1040.4	3	< 0.1%
1040.3	3	< 0.1%
1040.2	2	< 0.1%
1040.1	3	< 0.1%
1040	1	< 0.1%
1039.9	3	< 0.1%

Pressure3pm
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	549
Distinct (%)	0.4%
Missing	15028
Missing (%)	10.3%
Infinite	0
Infinite (%)	0.0%
Mean	1015.255889

Minimum	977.1
Maximum	1039.6
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	977.1
5-th percentile	1004
Q1	1010.4
median	1015.2
Q3	1020
95-th percentile	1026.9
Maximum	1039.6
Range	62.5
Interquartile range (IQR)	9.6

Descriptive statistics

Standard deviation	7.037413808
Coefficient of variation (CV)	0.006931665096
Kurtosis	0.1291715572
Mean	1015.255889
Median Absolute Deviation (MAD)	4.8
Skewness	-0.0456214048
Sum	132421856.1
Variance	49.52519311
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1015.3	786	0.5%
1015.5	783	0.5%
1015.6	776	0.5%
1015.7	773	0.5%
1013.5	767	0.5%
1015.1	766	0.5%
1015.8	765	0.5%
1015.4	756	0.5%
1016	747	0.5%
1014.8	745	0.5%
Other values (539)	122768	84.4%
(Missing)	15028	10.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
977.1	1	< 0.1%
978.2	1	< 0.1%
979	1	< 0.1%
980.2	2	< 0.1%
981.2	1	< 0.1%
981.4	1	< 0.1%
981.9	1	< 0.1%
982.2	1	< 0.1%
982.6	1	< 0.1%
982.9	1	< 0.1%

Value	Count	Frequency (%)
1039.6	1	< 0.1%
1038.9	1	< 0.1%
1038.5	1	< 0.1%
1038.4	1	< 0.1%
1038.2	1	< 0.1%
1038	1	< 0.1%
1037.9	2	< 0.1%
1037.8	2	< 0.1%
1037.7	3	< 0.1%
1037.6	1	< 0.1%

Cloud9am
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
ZEROS

Distinct	10
Distinct (%)	< 0.1%
Missing	55888
Missing (%)	38.4%
Infinite	0
Infinite (%)	0.0%
Mean	4.44746126

Minimum	0
Maximum	9
Zeros	8642
Zeros (%)	5.9%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	5
Q3	7
95-th percentile	8
Maximum	9
Range	9
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	2.887158854
Coefficient of variation (CV)	0.6491700961
Kurtosis	-1.538830489
Mean	4.44746126
Median Absolute Deviation (MAD)	3
Skewness	-0.2290818322
Sum	398368
Variance	8.335686245
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
7	19972	13.7%
1	15687	10.8%
8	14697	10.1%
0	8642	5.9%
6	8171	5.6%
2	6500	4.5%
3	5914	4.1%
5	5567	3.8%
4	4420	3.0%
9	2	< 0.1%
(Missing)	55888	38.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	8642	5.9%
1	15687	10.8%
2	6500	4.5%
3	5914	4.1%
4	4420	3.0%
5	5567	3.8%
6	8171	5.6%
7	19972	13.7%
8	14697	10.1%
9	2	< 0.1%

Value	Count	Frequency (%)
9	2	< 0.1%
8	14697	10.1%
7	19972	13.7%
6	8171	5.6%
5	5567	3.8%
4	4420	3.0%
3	5914	4.1%
2	6500	4.5%
1	15687	10.8%
0	8642	5.9%

Cloud3pm
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
ZEROS

Distinct	10
Distinct (%)	< 0.1%
Missing	59358
Missing (%)	40.8%
Infinite	0
Infinite (%)	0.0%
Mean	4.509930083

Minimum	0
Maximum	9
Zeros	4974
Zeros (%)	3.4%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	5
Q3	7
95-th percentile	8
Maximum	9
Range	9
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	2.72035731
Coefficient of variation (CV)	0.6031927902
Kurtosis	-1.456524516
Mean	4.509930083
Median Absolute Deviation (MAD)	2
Skewness	-0.2263843461
Sum	388314
Variance	7.400343896
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
7	18229	12.5%
1	14976	10.3%
8	12660	8.7%
6	8978	6.2%
2	7226	5.0%
3	6921	4.8%
5	6815	4.7%
4	5322	3.7%
0	4974	3.4%
9	1	< 0.1%
(Missing)	59358	40.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	4974	3.4%
1	14976	10.3%
2	7226	5.0%
3	6921	4.8%
4	5322	3.7%
5	6815	4.7%
6	8978	6.2%
7	18229	12.5%
8	12660	8.7%
9	1	< 0.1%

Value	Count	Frequency (%)
9	1	< 0.1%
8	12660	8.7%
7	18229	12.5%
6	8978	6.2%
5	6815	4.7%
4	5322	3.7%
3	6921	4.8%
2	7226	5.0%
1	14976	10.3%
0	4974	3.4%

Temp9am
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	441
Distinct (%)	0.3%
Missing	1767
Missing (%)	1.2%
Infinite	0
Infinite (%)	0.0%
Mean	16.99063142

Minimum	-7.2
Maximum	40.2
Zeros	36
Zeros (%)	< 0.1%
Negative	443
Negative (%)	0.3%
Memory size	1.1 MiB

Quantile statistics

Minimum	-7.2
5-th percentile	6.9
Q1	12.3
median	16.7
Q3	21.6
95-th percentile	28.2
Maximum	40.2
Range	47.4
Interquartile range (IQR)	9.3

Descriptive statistics

Standard deviation	6.488753141
Coefficient of variation (CV)	0.3819018247
Kurtosis	-0.3405233369
Mean	16.99063142
Median Absolute Deviation (MAD)	4.6
Skewness	0.0885399966
Sum	2441434.8
Variance	42.10391732
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
17	912	0.6%
13.8	900	0.6%
14.8	894	0.6%
16	882	0.6%
14	876	0.6%
15	867	0.6%
16.6	867	0.6%
16.5	856	0.6%
13	848	0.6%
15.1	846	0.6%
Other values (431)	134945	92.8%
(Missing)	1767	1.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-7.2	1	< 0.1%
-7	1	< 0.1%
-6.2	1	< 0.1%
-5.9	1	< 0.1%
-5.6	2	< 0.1%
-5.5	2	< 0.1%
-5.3	2	< 0.1%
-5.2	5	< 0.1%
-4.9	1	< 0.1%
-4.8	2	< 0.1%

Value	Count	Frequency (%)
40.2	1	< 0.1%
39.4	1	< 0.1%
39.1	1	< 0.1%
39	1	< 0.1%
38.9	1	< 0.1%
38.6	1	< 0.1%
38.3	1	< 0.1%
38.2	1	< 0.1%
38	1	< 0.1%
37.9	1	< 0.1%

Temp3pm
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	502
Distinct (%)	0.4%
Missing	3609
Missing (%)	2.5%
Infinite	0
Infinite (%)	0.0%
Mean	21.68339032

Minimum	-5.4
Maximum	46.7
Zeros	17
Zeros (%)	< 0.1%
Negative	180
Negative (%)	0.1%
Memory size	1.1 MiB

Quantile statistics

Minimum	-5.4
5-th percentile	11.6
Q1	16.6
median	21.1
Q3	26.4
95-th percentile	33.7
Maximum	46.7
Range	52.1
Interquartile range (IQR)	9.8

Descriptive statistics

Standard deviation	6.93665046
Coefficient of variation (CV)	0.3199061751
Kurtosis	-0.1362814705
Mean	21.68339032
Median Absolute Deviation (MAD)	4.8
Skewness	0.237960364
Sum	3075810.6
Variance	48.1171196
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20	882	0.6%
19	869	0.6%
18.5	869	0.6%
18.4	868	0.6%
17.8	859	0.6%
19.4	840	0.6%
18	839	0.6%
19.2	839	0.6%
17	834	0.6%
19.3	833	0.6%
Other values (492)	133319	91.7%
(Missing)	3609	2.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-5.4	1	< 0.1%
-5.1	1	< 0.1%
-4.4	1	< 0.1%
-4.2	1	< 0.1%
-4.1	1	< 0.1%
-4	1	< 0.1%
-3.9	2	< 0.1%
-3.8	1	< 0.1%
-3.7	3	< 0.1%
-3.5	3	< 0.1%

Value	Count	Frequency (%)
46.7	1	< 0.1%
46.2	1	< 0.1%
46.1	3	< 0.1%
45.9	1	< 0.1%
45.8	2	< 0.1%
45.4	1	< 0.1%
45.3	2	< 0.1%
45.2	2	< 0.1%
45	1	< 0.1%
44.9	1	< 0.1%

RainToday
Boolean

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	3261
Missing (%)	2.2%
Memory size	284.2 KiB

False	110319
True	31880
(Missing)	3261

Common Values
Chart

Value	Count	Frequency (%)
False	110319	75.8%
True	31880	21.9%
(Missing)	3261	2.2%

RainTomorrow
Boolean

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	3267
Missing (%)	2.2%
Memory size	284.2 KiB

False	110316
True	31877
(Missing)	3267

Common Values
Chart

Value	Count	Frequency (%)
False	110316	75.8%
True	31877	21.9%
(Missing)	3267	2.2%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	Date	Location	MinTemp	MaxTemp	Rainfall	Evaporation	Sunshine	WindGustDir	WindGustSpeed	WindDir9am	WindDir3pm	WindSpeed9am	WindSpeed3pm	Humidity9am	Humidity3pm	Pressure9am	Pressure3pm	Cloud9am	Cloud3pm	Temp9am	Temp3pm	RainToday	RainTomorrow
0	2008-12-01	Albury	13.4	22.9	0.6	NaN	NaN	W	44.0	W	WNW	20.0	24.0	71.0	22.0	1007.7	1007.1	8.0	NaN	16.9	21.8	No	No
1	2008-12-02	Albury	7.4	25.1	0.0	NaN	NaN	WNW	44.0	NNW	WSW	4.0	22.0	44.0	25.0	1010.6	1007.8	NaN	NaN	17.2	24.3	No	No
2	2008-12-03	Albury	12.9	25.7	0.0	NaN	NaN	WSW	46.0	W	WSW	19.0	26.0	38.0	30.0	1007.6	1008.7	NaN	2.0	21.0	23.2	No	No
3	2008-12-04	Albury	9.2	28.0	0.0	NaN	NaN	NE	24.0	SE	E	11.0	9.0	45.0	16.0	1017.6	1012.8	NaN	NaN	18.1	26.5	No	No
4	2008-12-05	Albury	17.5	32.3	1.0	NaN	NaN	W	41.0	ENE	NW	7.0	20.0	82.0	33.0	1010.8	1006.0	7.0	8.0	17.8	29.7	No	No
5	2008-12-06	Albury	14.6	29.7	0.2	NaN	NaN	WNW	56.0	W	W	19.0	24.0	55.0	23.0	1009.2	1005.4	NaN	NaN	20.6	28.9	No	No
6	2008-12-07	Albury	14.3	25.0	0.0	NaN	NaN	W	50.0	SW	W	20.0	24.0	49.0	19.0	1009.6	1008.2	1.0	NaN	18.1	24.6	No	No
7	2008-12-08	Albury	7.7	26.7	0.0	NaN	NaN	W	35.0	SSE	W	6.0	17.0	48.0	19.0	1013.4	1010.1	NaN	NaN	16.3	25.5	No	No
8	2008-12-09	Albury	9.7	31.9	0.0	NaN	NaN	NNW	80.0	SE	NW	7.0	28.0	42.0	9.0	1008.9	1003.6	NaN	NaN	18.3	30.2	No	Yes
9	2008-12-10	Albury	13.1	30.1	1.4	NaN	NaN	W	28.0	S	SSE	15.0	11.0	58.0	27.0	1007.0	1005.7	NaN	NaN	20.1	28.2	Yes	No

Last rows

	Date	Location	MinTemp	MaxTemp	Evaporation	Sunshine	WindGustDir	WindGustSpeed	WindDir9am	WindDir3pm	WindSpeed9am	WindSpeed3pm	Humidity9am	Humidity3pm	Pressure9am	Pressure3pm	Cloud9am	Cloud3pm	Temp9am	Temp3pm	RainToday	RainTomorrow
145450	2017-06-16	Uluru	5.2	24.3	NaN	NaN	E	24.0	SE	E	11.0	11.0	53.0	24.0	1023.8	1020.0	NaN	NaN	12.3	23.3	No	No
145451	2017-06-17	Uluru	6.4	23.4	NaN	NaN	ESE	31.0	S	ESE	15.0	17.0	53.0	25.0	1025.8	1023.0	NaN	NaN	11.2	23.1	No	No
145452	2017-06-18	Uluru	8.0	20.7	NaN	NaN	ESE	41.0	SE	E	19.0	26.0	56.0	32.0	1028.1	1024.3	NaN	7.0	11.6	20.0	No	No
145453	2017-06-19	Uluru	7.4	20.6	NaN	NaN	E	35.0	ESE	E	15.0	17.0	63.0	33.0	1027.2	1023.3	NaN	NaN	11.0	20.3	No	No
145454	2017-06-20	Uluru	3.5	21.8	NaN	NaN	E	31.0	ESE	E	15.0	13.0	59.0	27.0	1024.7	1021.2	NaN	NaN	9.4	20.9	No	No
145455	2017-06-21	Uluru	2.8	23.4	NaN	NaN	E	31.0	SE	ENE	13.0	11.0	51.0	24.0	1024.6	1020.3	NaN	NaN	10.1	22.4	No	No
145456	2017-06-22	Uluru	3.6	25.3	NaN	NaN	NNW	22.0	SE	N	13.0	9.0	56.0	21.0	1023.5	1019.1	NaN	NaN	10.9	24.5	No	No
145457	2017-06-23	Uluru	5.4	26.9	NaN	NaN	N	37.0	SE	WNW	9.0	9.0	53.0	24.0	1021.0	1016.8	NaN	NaN	12.5	26.1	No	No
145458	2017-06-24	Uluru	7.8	27.0	NaN	NaN	SE	28.0	SSE	N	13.0	7.0	51.0	24.0	1019.4	1016.5	3.0	2.0	15.1	26.0	No	No
145459	2017-06-25	Uluru	14.9	NaN	NaN	NaN	NaN	NaN	ESE	ESE	17.0	17.0	62.0	36.0	1020.2	1017.9	8.0	8.0	15.0	20.9	No	NaN

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Interactions

Correlations

Spearman's ρ

Pearson's r

Kendall's τ

Cramér's V (φc)

Phik (φk)

Missing values

Sample

First rows

Last rows